Sample Resume of AI Platform Product Manager with Template & Writing Guide

Resume Skills and Keywords for an AI Platform Product Manager

An AI Platform Product Manager defines, builds, and scales enterprise-grade AI platforms that power diverse applications. They are engaged throughout the entire product lifecycle—from market research, opportunity assessment, and strategic roadmap development to model selection, deployment, monitoring, and continuous optimisation—ensuring that AI solutions align with business objectives and user needs. By leveraging expertise in machine learning, large language models (LLMs), generative AI, computer vision, and natural language processing (NLP), they drive the development of robust, scalable, and ethical AI platforms. With proficiency in tools and platforms such as OpenAI, Hugging Face, LangChain, TensorFlow, PyTorch, and cloud ecosystems (AWS, Azure, GCP), AI Platform Product Managers oversee integration, orchestration, and lifecycle management of AI models. They collaborate closely with cross-functional teams—including data scientists, ML engineers, DevOps, UX designers, and business stakeholders—to deliver secure, reliable, and high-performing AI solutions.

Skills required for an AI Platform Product Manager role:

AI/ML Fundamentals
Large Language Models
AWS
Data Infrastructure
Cloud Platforms
MLOps & DevOps
APIs & SDKs
Security & Compliance
Strong Communication
Presentation Skills
Leadership skills

What recruiters look for in an AI Platform Product Manager's resume:

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related technical field.
Strong foundation in large language models (LLMs), deep learning, natural language processing (NLP), computer vision, and multimodal AI.
Proficiency with AI/ML frameworks and platforms such as TensorFlow, PyTorch, Hugging Face, LangChain, or OpenAI.
Hands-on experience with cloud and MLOps environments (AWS, Azure, GCP, Kubernetes, MLflow) for model deployment, monitoring, and lifecycle management.
Ability to define product roadmaps, prioritise features, and manage backlogs using tools like JIRA, Confluence, or Aha!.
Knowledge of prompt engineering, fine-tuning, model evaluation, and responsible AI practices to ensure high-quality, safe, and ethical outputs.

What can make your AI Platform Product Manager resume stand out:

A strong summary that demonstrates your skills, experience and background in AI engineering

An AI Platform Product Manager with a strong foundation in machine learning, MLOps, and scalable data infrastructure. Proven ability to lead the end-to-end development of AI/ML platforms that empower data scientists and engineers to build, deploy, and monitor models efficiently. Effectively bridges the gap between technical teams and business stakeholders, driving platform adoption through intuitive tooling, robust APIs, and seamless integration.

Targeted job description

Lead the design, development, and optimization of scalable AI platforms that enable deployment, monitoring, and management of advanced machine learning and generative AI solutions.
Manage end-to-end product lifecycle, from market research and opportunity assessment to roadmap definition, model integration, deployment, and continuous improvement.
Utilise industry-standard tools and platforms (TensorFlow, PyTorch, Hugging Face, LangChain, OpenAI, AWS, Azure, or GCP) for AI model development, orchestration, and lifecycle management.
Collaborate with cross-functional teams, including data scientists, ML engineers, UX designers, domain experts, and business stakeholders, to ensure AI platforms align with organisational goals and user needs.
Define and monitor key performance metrics such as accuracy, scalability, latency, adoption rate, and system reliability to evaluate and enhance platform performance.

Related academic background

B.Tech in Computer Science at School of Engineering and Applied Science, Ahmedabad | 2020

Sample Resume of AI Platform Product Manager in Text Format

ROHIT SHAH

AI Platform Product Manager

+91-XXXXXXXXXX | support@resumod.co |Ahmedabad, India

SUMMARY

An AI Platform Product Manager with a strong foundation in machine learning, MLOps, and scalable data infrastructure. Proven ability to lead the end-to-end development of AI/ML platforms that empower data scientists and engineers to build, deploy, and monitor models efficiently. Effectively bridges the gap between technical teams and business stakeholders, driving platform adoption through intuitive tooling, robust APIs, and seamless integration.

EMPLOYMENT HISTORY

AI Platform Product Manager at Qualys from 2023 - Present, Ahmedabad

Defining the roadmap for AI/ML platform tools, including model training, deployment pipelines, MLOps, data governance, and performance monitoring.
Collaborating with data scientists, ML engineers, and software developers to deliver scalable and reliable AI infrastructure.
Translating complex AI needs into platform features that accelerate experimentation and model delivery across multiple product lines.
Ensuring platform reliability, security, and compliance with responsible AI standards and data privacy regulations.
Evaluating and integrating emerging technologies (e.g., LLMs, vector databases, feature stores) into the AI platform stack.

Assistant AI Platform Product Manager at Autodesk Ltd. from 2020 - 2023, Ahmedabad

Assisted in defining product requirements for AI platform features, including data pipelines, model training environments, and deployment tools.
Helped evaluate emerging tools and technologies to improve the scalability, security, and usability of the AI platform.
Monitored user feedback, usage data, and platform performance to inform continuous improvement.
Created clear documentation and product communications for internal stakeholders and end users.

COURSES